NDLI: An experimental illustration of 3D facial shape analysis under facial expressions

Content Provider	Springer Nature Link
Author	Ben Amor, Boulbaba Drira, Hassen Ballihi, Lahoucine Srivastava, Anuj Daoudi, Mohamed
Copyright Year	2009
Abstract	The main goal of this paper is to illustrate a geometric analysis of 3D facial shapes in the presence of varying facial expressions. This approach consists of the following two main steps: (1) Each facial surface is automatically denoised and preprocessed to result in an indexed collection of facial curves. During this step, one detects the tip of the nose and defines a surface distance function with that tip as the reference point. The level curves of this distance function are the desired facial curves. (2) Comparisons between faces are based on optimal deformations from one to another. This, in turn, is based on optimal deformations of the corresponding facial curves across surfaces under an elastic metric. The experimental results, generated using a subset of the Face Recognition Grand Challenge v2 data set, demonstrate the success of the proposed framework in recognizing people under different facial expressions. The recognition rates obtained here exceed those for a baseline ICP algorithm on the same data set.
Starting Page	369
Ending Page	379
Page Count	11
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	64
Issue Number	5-6
e-ISSN	19589395
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-02-04
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Facial shape analysis 3D Face recognition Automatic preprocessing R & D/Technology Policy Signal, Image and Speech Processing Information Systems and Communication Service Communications Engineering, Networks Information and Communication, Circuits Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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